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Fairness without the sensitive attribute via Causal Variational
  Autoencoder

Fairness without the sensitive attribute via Causal Variational Autoencoder

10 September 2021
Vincent Grari
Sylvain Lamprier
Marcin Detyniecki
ArXivPDFHTML

Papers citing "Fairness without the sensitive attribute via Causal Variational Autoencoder"

15 / 15 papers shown
Title
Fairness without Demographics through Learning Graph of Gradients
Fairness without Demographics through Learning Graph of Gradients
Yingtao Luo
Z. Li
Qiang Liu
Jun Zhu
74
0
0
31 Dec 2024
Alpha and Prejudice: Improving $α$-sized Worst-case Fairness via
  Intrinsic Reweighting
Alpha and Prejudice: Improving ααα-sized Worst-case Fairness via Intrinsic Reweighting
Jing Li
Yinghua Yao
Yuangang Pan
Xuanqian Wang
Ivor Tsang
Xiuju Fu
FaML
35
0
0
05 Nov 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
Xuanqian Wang
Jing Li
Ivor Tsang
Yew-Soon Ong
24
0
0
04 Nov 2024
Fairness without Sensitive Attributes via Knowledge Sharing
Fairness without Sensitive Attributes via Knowledge Sharing
Hongliang Ni
Lei Han
Tong Chen
S. Sadiq
Gianluca Demartini
34
2
0
27 Sep 2024
Fair Recommendations with Limited Sensitive Attributes: A
  Distributionally Robust Optimization Approach
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
Tianhao Shi
Yang Zhang
Jizhi Zhang
Fuli Feng
Xiangnan He
31
0
0
02 May 2024
Towards Counterfactual Fairness-aware Domain Generalization in Changing
  Environments
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
Yujie Lin
Chen Zhao
Minglai Shao
Baoluo Meng
Xujiang Zhao
Haifeng Chen
14
3
0
22 Sep 2023
Improving Fairness in Deepfake Detection
Improving Fairness in Deepfake Detection
Yan Ju
Shu Hu
Shan Jia
George H. Chen
Siwei Lyu
21
31
0
29 Jun 2023
Contagion Effect Estimation Using Proximal Embeddings
Contagion Effect Estimation Using Proximal Embeddings
Zahra Fatemi
Elena Zheleva
24
1
0
04 Jun 2023
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI Systems
Nenad Tomašev
J. L. Maynard
Iason Gabriel
24
9
0
15 Dec 2022
A survey of Identification and mitigation of Machine Learning
  algorithmic biases in Image Analysis
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis
Laurent Risser
Agustin Picard
Lucas Hervier
Jean-Michel Loubes
FaML
25
5
0
10 Oct 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
31
159
0
14 Jul 2022
Learning Fair Models without Sensitive Attributes: A Generative Approach
Learning Fair Models without Sensitive Attributes: A Generative Approach
Huaisheng Zhu
Suhang Wang
FaML
31
10
0
30 Mar 2022
A Fair Pricing Model via Adversarial Learning
A Fair Pricing Model via Adversarial Learning
Vincent Grari
Arthur Charpentier
Marcin Detyniecki
14
13
0
24 Feb 2022
FairMask: Better Fairness via Model-based Rebalancing of Protected
  Attributes
FairMask: Better Fairness via Model-based Rebalancing of Protected Attributes
Kewen Peng
Joymallya Chakraborty
Tim Menzies
FaML
35
29
0
03 Oct 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
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